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4088c0a7f3
Automated register all functions with below naming convention by iterating through the symbols: void DB::registerXXX(DB::FunctionFactory &)
159 lines
5.8 KiB
C++
159 lines
5.8 KiB
C++
#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypeFixedString.h>
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#include <DataTypes/DataTypeArray.h>
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#include <Columns/ColumnString.h>
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#include <Columns/ColumnFixedString.h>
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#include <Columns/ColumnArray.h>
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#include <Interpreters/Context_fwd.h>
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#include <Interpreters/ITokenExtractor.h>
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#include <Functions/IFunction.h>
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#include <Functions/FunctionHelpers.h>
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#include <Functions/FunctionFactory.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int BAD_ARGUMENTS;
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}
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enum TokenExtractorStrategy
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{
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ngrams,
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tokens
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};
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template <TokenExtractorStrategy strategy>
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class FunctionTokenExtractor : public IFunction
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{
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public:
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static constexpr auto name = strategy == ngrams ? "ngrams" : "tokens";
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static FunctionPtr create(ContextPtr)
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{
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return std::make_shared<FunctionTokenExtractor>();
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}
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return strategy == ngrams ? 2 : 1; }
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bool isVariadic() const override { return false; }
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ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return strategy == ngrams ? ColumnNumbers{1} : ColumnNumbers{}; }
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bool useDefaultImplementationForNulls() const override { return true; }
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bool useDefaultImplementationForConstants() const override { return true; }
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bool useDefaultImplementationForLowCardinalityColumns() const override { return true; }
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bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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auto ngram_input_argument_type = WhichDataType(arguments[0].type);
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if (!ngram_input_argument_type.isStringOrFixedString())
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throw Exception(ErrorCodes::BAD_ARGUMENTS,
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"Function {} first argument type should be String or FixedString. Actual {}",
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getName(),
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arguments[0].type->getName());
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if constexpr (strategy == ngrams)
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{
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const auto & column_with_type = arguments[1];
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const auto & ngram_argument_column = arguments[1].column;
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auto ngram_argument_type = WhichDataType(column_with_type.type);
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if (!ngram_argument_type.isNativeUInt() || !ngram_argument_column || !isColumnConst(*ngram_argument_column))
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throw Exception(ErrorCodes::BAD_ARGUMENTS,
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"Function {} second argument type should be constant UInt. Actual {}",
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getName(),
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arguments[1].type->getName());
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}
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return std::make_shared<DataTypeArray>(std::make_shared<DataTypeString>());
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override
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{
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auto column_offsets = ColumnArray::ColumnOffsets::create();
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if constexpr (strategy == TokenExtractorStrategy::ngrams)
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{
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Field ngram_argument_value;
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arguments[1].column->get(0, ngram_argument_value);
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auto ngram_value = ngram_argument_value.safeGet<UInt64>();
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NgramTokenExtractor extractor(ngram_value);
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auto result_column_string = ColumnString::create();
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auto input_column = arguments[0].column;
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if (const auto * column_string = checkAndGetColumn<ColumnString>(input_column.get()))
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executeImpl(extractor, *column_string, *result_column_string, *column_offsets);
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else if (const auto * column_fixed_string = checkAndGetColumn<ColumnFixedString>(input_column.get()))
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executeImpl(extractor, *column_fixed_string, *result_column_string, *column_offsets);
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return ColumnArray::create(std::move(result_column_string), std::move(column_offsets));
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}
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else
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{
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SplitTokenExtractor extractor;
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auto result_column_string = ColumnString::create();
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auto input_column = arguments[0].column;
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if (const auto * column_string = checkAndGetColumn<ColumnString>(input_column.get()))
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executeImpl(extractor, *column_string, *result_column_string, *column_offsets);
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else if (const auto * column_fixed_string = checkAndGetColumn<ColumnFixedString>(input_column.get()))
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executeImpl(extractor, *column_fixed_string, *result_column_string, *column_offsets);
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return ColumnArray::create(std::move(result_column_string), std::move(column_offsets));
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}
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}
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private:
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template <typename ExtractorType, typename StringColumnType, typename ResultStringColumnType>
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inline void executeImpl(
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const ExtractorType & extractor,
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StringColumnType & input_data_column,
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ResultStringColumnType & result_data_column,
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ColumnArray::ColumnOffsets & offsets_column) const
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{
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size_t current_tokens_size = 0;
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auto & offsets_data = offsets_column.getData();
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size_t column_size = input_data_column.size();
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offsets_data.resize(column_size);
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for (size_t i = 0; i < column_size; ++i)
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{
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auto data = input_data_column.getDataAt(i);
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size_t cur = 0;
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size_t token_start = 0;
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size_t token_length = 0;
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while (cur < data.size && extractor.nextInString(data.data, data.size, &cur, &token_start, &token_length))
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{
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result_data_column.insertData(data.data + token_start, token_length);
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++current_tokens_size;
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}
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offsets_data[i] = current_tokens_size;
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}
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}
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};
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REGISTER_FUNCTION(StringTokenExtractor)
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{
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factory.registerFunction<FunctionTokenExtractor<TokenExtractorStrategy::ngrams>>();
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factory.registerFunction<FunctionTokenExtractor<TokenExtractorStrategy::tokens>>();
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}
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}
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